Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Ushio Tanaka, Masami Saga, Junji Nakano
Title: NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP
Abstract: NScluster is an R package used for simulation and parameter estimation for NeymanScott cluster point process models and their extensions. For parameter estimation, NScluster uses the maximum Palm likelihood estimation procedure. As some estimation procedures proposed herein require heavy calculation, NScluster can use parallel computation via OpenMP and achieve significant speedup in some cases. In this paper, we discuss results obtained using a laptop PC and a shared memory supercomputer. In addition, we examine the performance characteristics of parallel computation via OpenMP.

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Paper: NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP     Download PDF (Downloads: 316)
Supplements:
NScluster_1.3.5.tar.gz: R source package Download (Downloads: 24; 233KB)
v98i06-replication.zip: Replication materials Download (Downloads: 23; 7KB)

DOI: 10.18637/jss.v098.i06

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.